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Object and Scene Recognition Using Eigenimages

Ales Leonardis

University of Ljubljana

Abstract

The appearance-based approaches to computer vision problems have recentlyreceived a renewed attention in the vision community due to their ability to deal withcombined effects of shape, reflectance properties, pose in the scene, and illuminationconditions.

Besides, appearance-based representations can be acquired through an automaticlearning phase which is not the case with traditional shape representations.

The approach has led to a variety of successful applications, e.g., visual positioningand tracking of robot manipulators, visual inspection, and human face recognition.

In this talk I will present the basic ideas of eigenspace methods for appearance-basedobject recognition. Various methods for training and recognizing objects will be outlined.

I will also identify the major limitations of the approach and present algorithms whichalleviate the problems, leading to an object recognition system which is applicable inreal world situations. Throughout the talk, all the concepts will be demonstrated on realimages.